CN108335043A - A kind of intelligent electricity utilization cell cutting load dispatching method of fairness - Google Patents
A kind of intelligent electricity utilization cell cutting load dispatching method of fairness Download PDFInfo
- Publication number
- CN108335043A CN108335043A CN201810116501.4A CN201810116501A CN108335043A CN 108335043 A CN108335043 A CN 108335043A CN 201810116501 A CN201810116501 A CN 201810116501A CN 108335043 A CN108335043 A CN 108335043A
- Authority
- CN
- China
- Prior art keywords
- cutting load
- fairness
- user
- scheduling
- dispatching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 230000005611 electricity Effects 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000010606 normalization Methods 0.000 claims description 9
- 230000003252 repetitive effect Effects 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000010276 construction Methods 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The present invention provides a kind of intelligent electricity utilization cell cutting load dispatching methods of fairness, purpose of the present invention cutting load dispatching method before the Family Day of a kind of meter of offer and electricity consumption behavior, this method is compared with general technology, the present invention is in the data characteristic for fully considering domestic consumer's dispatching in intelligent residential district, the day power load data information of domestic consumer is obtained by acquisition, obtaining user daily electricity consumption can cutting load, the dispatching of user is analyzed, the fairness criterion that science is established with data effectively improves intelligent residential district electricity consumption scheduling cutting load effect.
Description
Technical field
The invention belongs to the intelligent electricity utilization cell cutting loads of intelligent power dispatching technique field more particularly to a kind of fairness
Dispatching method.
Background technology
Intelligent power engineering construction under energy Background of Internet, household electricity scheduling are important component part.User
Electricity consumption behavior influenced by class of subscriber, income and society/educational level equality various aspects.It therefore can be by optimizing electricity consumption tune
Degree, i.e., by inducing user to change its own electricity consumption to optimize the electric energy equilibrium of supply and demand, to realize that reduction is matched with valence incentive measure
Electric cell peak load is poor, improves load curve, and efficient electricity consumption meets energy internet development demand.
The electricity consumption dispatching method of existing intelligent grid is according to supply side supply load curve, by community user entirety
The optimization of electricity consumption scheduling is realized in the scheduling of load.This invention address that in data Angle analysis user power utilization custom, according to best
Scheduling factor realizes the electricity consumption scheduling operation of family's load, effectively improves household electricity scheduling cutting load effect a few days ago.
Invention content
The purpose of the present invention is to provide a kind of intelligent electricity utilization cell cutting load dispatching methods of fairness, with general technology
It compares, the present invention fully considers the data characteristic of intelligent residential district domestic consumer's dispatching, obtains domestic consumer's by acquisition
Day power load data information, obtain the daily electricity consumption of user can cutting load, the dispatching of user is analyzed, is built with data
The fairness criterion of vertical science effectively improves the effect of intelligent residential district cutting load scheduling.
S1. acquisition obtains the daily electricity consumption data information of load of domestic consumer
S2. the electricity consumption scheduling information normalization operation of domestic consumer
S3. the cutting load fairness factor operation of user is calculated
S4. next cycle user cutting load scheduling operation is realized according to fairness index sequence
S5. family's workload demand response cutting load operation is completed in return to step S1 repetitive operations
Description of the drawings
Fig. 1 is the method for the present invention flow chart.
Fig. 2 is the method for the present invention typical case scene graph.
Specific implementation mode
Below in conjunction with the accompanying drawings, it elaborates to preferred embodiment.It is emphasized that following the description is merely exemplary
, the range being not intended to be limiting of the invention and its application.It is flow chart of the method for the present invention as shown in Figure 1, below in conjunction with
The method of the present invention is further described in specific embodiment.
Specific embodiment application scenarios are a scene containing typical case as shown in Fig. 2, the intelligent electricity utilization cell includes K
Domestic consumer, the power load of each domestic consumer include base load (such as illuminator) and can cutting load (such as refrigerator with
Water heater)；Power distribution network control centre implements to realize that day is dispatched in electricity consumption to user in intelligent electricity utilization cell by electricity consumption scheduling strategy
Day before yesterday grade cutting load operation.
A kind of intelligent electricity utilization cell cutting load dispatching method of fairness provided by the invention, includes the following steps：
S1. acquisition obtains the daily electricity consumption data information of load of domestic consumer；
If intelligent electricity utilization cell domestic consumer sum is K (value range of K is 1~500), if acquisition time section is N days
The scheduling times of (N value ranges are 7~30) and No.j days (j=1~N) are i (value range of i is 1~24), and scheduling quantum is
M (value range of m is 0kWh~10kWh)；To N days before each user's statistics gatherer, using domestic consumer's intelligent electric meter device,
According to being divided between acquisition time 1 day, the load electricity consumption data of domestic consumer are periodically acquired；Statistics obtains k-th of user
The scheduling times i and scheduling quantum m in jth day.
Total number of users is set in example as K=5 (value range is 1~500), timing statistics section is N=7 days (value ranges
Be 7~30) and the scheduling times of No.j days (j=1 ..., N) be i (value range be 1~24)；Scheduling quantum is the m (values of m
Ranging from 0kWh~10kWh)；To N days before each user's statistics gatherer, using domestic consumer's intelligent electric meter device, according to acquisition
Time interval is 1 day, periodically acquires the load electricity consumption data of domestic consumer；Statistics obtains the tune in k-th of user's jth day
Spend number i and scheduling quantum m.
S2. the electricity consumption scheduling information normalization operation of domestic consumer
Operation is normalized to k user j days the scheduling times i and scheduling quantum m of acquisition, obtains k-th of user's jth
(G's takes it normalization scheduling times F (value range of F is 0~1) and the normalization scheduling quantum G in k-th of user's jth day
Value ranging from 0~1).
Operation is normalized to k user of acquisition j days scheduling times i and scheduling quantum m in example, is obtained k-th
The normalization scheduling quantum G of normalization scheduling times F (value range of F is 0~1) and k-th of user's jth day in user's jth day
(value range of G is 0~1), as shown in table 1.
The electricity consumption scheduling information of 1 domestic consumer of table normalizes result table
S3. the cutting load fairness factor operation of user is calculated
If current dispatching cycle is T (unit is day), fairness weight coefficient is z (value range of z is 0~1), according to
Formula A=z*F+ (1-z) * G calculate cutting load fairness factor A (value range 0~1)；Mark No.k user's current scheduling week
The cutting load fairness index of phase TAccording to formulaCalculate the cutting load justice of next T+1 dispatching cycle because
Son.
Current dispatching cycle is set in example as T (unit is day), fairness weight coefficient is the z=0.5 (value ranges of z
It is 0~1), calculate cutting load fairness factor A (value range 0~1) according to formula A=z*F+ (1-z) * G；No.k is marked to use
The cutting load fairness index of family current dispatching cycle TAccording to formulaCalculate next T+1's dispatching cycle
Cutting load fairness index, as shown in table 2.
The fairness coefficient of 25 domestic consumer's period 1 of table and second round
S4. next cycle user cutting load scheduling operation is realized according to fairness index sequence
It is user cutting load fairness indexs of the T to next T+1 dispatching cycle in current dispatching cycleDescending row
Sequence；In next T+1 dispatching cycle, according toDescending sequencing carries out cutting load operation to user, realizes intelligence
It can the operation of electricity consumption cell fairness cutting load.
In current dispatching cycle it is T to user's cutting load fairness index of next T+1 dispatching cycle in exampleBy big
To small sequence；In next T+1 dispatching cycle, according toDescending sequencing carries out cutting load operation to user, real
Existing intelligent electricity utilization cell fairness cutting load operation, as shown in table 3, cutting load operation User ID sequence are followed successively by user 1, user
5, user 2, and user 3, and user 4,.
The dispatching sequence of 3 domestic consumer's cutting load of table
S5. family's workload demand response cutting load operation is completed in return to step S3 repetitive operations
Current period T is updated to T+1, repeats step S1, completes family's workload demand response cutting load in next period
Operation.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Any one skilled in the art in the technical scope disclosed by the present invention, the change or replacement that can be readily occurred in,
It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of the claims
Subject to.
Claims (4)
1. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness, this approach includes the following steps：
S1. acquisition obtains the daily electricity consumption data information of load of domestic consumer
S2. the electricity consumption scheduling information normalization operation of domestic consumer
S3. the cutting load fairness factor operation of user is calculated
S4. next cycle user cutting load scheduling operation is realized according to fairness index sequence
S5. family's workload demand response cutting load operation is completed in return to step S1 repetitive operations.
2. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness according to claim 1, which is characterized in that institute
It states in step S2, the normalization scheduling times in k-th of user's jth day are F（The value range of F is 0 ~ 1）, k-th of user's jth day
Normalization scheduling quantum be G（The value range of G is 0 ~ 1）.
3. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness according to claim 1, which is characterized in that institute
It states step S3 and sets current dispatching cycle as T（Unit is day）, fairness weight coefficient is z（The value range of z is 0 ~ 1）, according to
FormulaCalculate cutting load fairness factor A（Value range 0 ~ 1）；Mark No.k user's current scheduling week
The cutting load fairness index of phase T, according to formulaCalculate the cutting load justice of next T+1 dispatching cycle because
Son.
4. a kind of intelligent electricity utilization cell cutting load dispatching method of fairness according to claim 1, which is characterized in that institute
It states in step S4, is user cutting load fairness indexs of the T to next T+1 dispatching cycle in current dispatching cycleBy greatly to
Small sequence；In next T+1 dispatching cycle, according toDescending sequencing carries out cutting load operation to user, real
Existing intelligent electricity utilization cell fairness cutting load operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810116501.4A CN108335043A (en) | 2018-02-06 | 2018-02-06 | A kind of intelligent electricity utilization cell cutting load dispatching method of fairness |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810116501.4A CN108335043A (en) | 2018-02-06 | 2018-02-06 | A kind of intelligent electricity utilization cell cutting load dispatching method of fairness |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108335043A true CN108335043A (en) | 2018-07-27 |
Family
ID=62928259
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810116501.4A Withdrawn CN108335043A (en) | 2018-02-06 | 2018-02-06 | A kind of intelligent electricity utilization cell cutting load dispatching method of fairness |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108335043A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109494754A (en) * | 2019-01-08 | 2019-03-19 | 国网湖南省电力有限公司 | Consider the urgent cutting load method of power grid of user time fairness |
| CN109713679A (en) * | 2019-01-08 | 2019-05-03 | 国网湖南省电力有限公司 | The urgent cutting load method of power grid based on demand response participation |
-
2018
- 2018-02-06 CN CN201810116501.4A patent/CN108335043A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109494754A (en) * | 2019-01-08 | 2019-03-19 | 国网湖南省电力有限公司 | Consider the urgent cutting load method of power grid of user time fairness |
| CN109713679A (en) * | 2019-01-08 | 2019-05-03 | 国网湖南省电力有限公司 | The urgent cutting load method of power grid based on demand response participation |
| CN109713679B (en) * | 2019-01-08 | 2021-01-26 | 国网湖南省电力有限公司 | Power grid emergency load method based on demand response participation degree |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Widén et al. | Models of domestic occupancy, activities and energy use based on time-use data: deterministic and stochastic approaches with application to various building-related simulations | |
| CN108279566A (en) | A kind of more household electricity energy requirements response regulation and control method of Load aggregation quotient | |
| CN111598478B (en) | Comprehensive energy demand response quantity calculation method | |
| Song et al. | An improved real-time pricing algorithm based on utility maximization for smart grid | |
| Aloise-Young et al. | Dirty dishes or dirty laundry? Comparing two methods for quantifying American consumers' preferences for load management in a smart home | |
| Nwulu et al. | A combined dynamic economic emission dispatch and time of use demand response mathematical modelling framework | |
| Hemanth et al. | Cost effective energy consumption in a residential building by implementing demand side management in the presence of different classes of power loads | |
| Iftikhar et al. | Biogeography based optimization for home energy management in smart grid | |
| CN109919485A (en) | A kind of Multipurpose Optimal Method of the Water Resources Allocation based on NSGA-II | |
| CN108335043A (en) | A kind of intelligent electricity utilization cell cutting load dispatching method of fairness | |
| CN109993355A (en) | A kind of building Electric optimization based on grey wolf algorithm | |
| CN108364120A (en) | Intelligent residential district demand response cutting load method based on user power utilization irrelevance | |
| Khan et al. | Energy efficient scheduling of smart home | |
| CN113988471A (en) | Multi-objective optimization method for micro-grid operation | |
| Guo et al. | Evolutionary optimisation of distributed energy resources | |
| Sekizaki et al. | An intelligent home energy management system with classifier system | |
| Longe et al. | Time programmable smart devices for peak demand reduction of smart homes in a microgrid | |
| Joseph et al. | Demand response program for smart grid through real time pricing and home energy management system | |
| Mansoor et al. | A multi-objective residential load management based on self-adapting differential evolution | |
| Raju et al. | A novel load management algorithm for EMU by implementing demand side management techniques using ANN | |
| Chatterjee et al. | A solution to demand response with soft-computing techniques | |
| Nassirou et al. | Appliance scheduling optimization in a smart home energy management system with heuristic algorithms | |
| Ahmed et al. | Rpsmdsm: Residential power scheduling and modelling for demand side management | |
| Irfan et al. | Power Scheduling with Max User Comfort in Smart Home: Performance Analysis and Tradeoffs. | |
| Youssef et al. | Exploring LBWO and BWO Algorithms for Demand Side Optimization and Cost Efficiency: Innovative Approaches to Smart Home Energy Management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20180727 |
|
| WW01 | Invention patent application withdrawn after publication |